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I am new on this code, My question is that if i want to get the grad on the CNN layer by using register_backward_hook function. Should I remove the code "with torch.no_grad():" when training this mode…
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env--reacher
algo--ppo
error:
Traceback (most recent call last):
File "/home/al/Desktop/pytorch-a2c-ppo-acktr-gail-master/main.py", line 196, in
main()
File "/home/al/Desktop/pytorch-…
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Hi,
It seems that there is a typo in acktr_cont.py line 7:
```
from baselines.common.filters import ZFilter
```
it should be:
```
from baselines.acktr.filters import ZFilter
```
Hope th…
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In the ACKTR.pg, a KFACOptimizer is imported. But no source file is found
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To improve stability and robustness of policy, implement proximal policy optimization (PPO):
- https://arxiv.org/abs/1707.06347
- code: https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail
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Today I was able to get the baslines installed with gym and run some examples. From other posts, for installing mujoco-pi the following combination had to be used:
python 3.5.2
mujoco 131
mujoco…
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Tried this out (commit ac1a2f7) on CPython 3.6.9 (Ubuntu 18.04), using sample command:
```
$ python3 -m plb.algorithms.solve --algo action --env_name Move-v1 --path output
Traceback (most recent ca…
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It would be good to have Mujoco baseline results for ACKTR, A2C, TRPO , PPO and DDPG for Mujoco v2 environment update. It would be good to have benchmark results compare against.
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There are several nice implementations of RL algorithms in
https://github.com/openai/baselines
But they're all implemented in Tensorflow, and in addition have lots of onerous dependencies like …
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This project run twelve instances of the environment in parallel for collecting the robot's experenvces, but I want to use an environment for training, how can I do that?